AI opportunity review
We map your main processes and list where AI could save hours or reduce errors, ranked by value and risk.
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AI consulting · Use cases, tools and a first pilot · USA and Canada
PromotEdge International offers AI consulting services for small and mid-size businesses in the USA, Canada and other markets. We look at how your work gets done, find the tasks where AI can save real hours, choose the tools, and plan a first pilot with a person checking the output. Our delivery team is in India.
A plain answer to where AI will save your team time, and where it will not.
In short
Most companies know AI could help but not where to start. We start from your processes, not from the tools, and we say plainly when a task is better left to people or to simple automation.
Advice on its own, or advice followed by the build.
We map your main processes and list where AI could save hours or reduce errors, ranked by value and risk.
Which AI models and tools fit each task, what they cost to run, and how they connect to your systems.
One use case, what success means in hours or errors, and how a person checks the output.
What data each use case touches, where it goes, and what your contracts and customers allow.
Simple rules for staff on which tools to use, what not to paste into them, and who checks the results.
If you want, we build the pilot as AI automation or AI agents, and hand it to your team.
Many companies start with the opportunity review and one pilot, then decide what comes next.
Brands we have worked with
Work delivered from India. Results are shared one to one, under NDA.
We use these details only to reply to you.
Rather talk now?
A rough note through the form on what you sell and what needs to change.
How people find you today, where inquiries get lost, then a call in your working day.
The work, who does it and how it is measured. Nothing starts until you approve it.
Our team in India does the work, with calls set in your working hours.
Every number we report shows its source and date range, and we travel to our clients every 3 to 4 months.
Typical situations, not results from a named client.
Buying an AI product before knowing the task. We start from the process and the hours it costs.
No clear measure of success. We agree it in hours or errors before the pilot starts.
Without a policy, company data ends up in personal accounts. A short, clear policy fixes that.
AI makes confident mistakes. We design a person into the loop where an error would cost you.
We learn the tasks, the tools and where time goes.
Each use case with its value, risk and cost to run.
The use case with the clearest return and the lowest risk.
A working pilot on real data, with a person approving output at first.
Roll out, adjust or stop, based on the numbers you agreed.
Our beliefUse AI where it saves real hours, and keep a person in charge where mistakes cost money.
For a smaller company, AI consulting is less about strategy decks and more about a few tasks that eat hours every week: reading documents, answering routine questions, updating records, writing first drafts. The work is finding those, choosing safe tools, and proving the gain on one before the next.
For managing risk, the US NIST AI Risk Management Framework is a useful, voluntary guide. Its four functions, govern, map, measure and manage, shape how we review each use case.
For wider change across your processes, see digital transformation consulting.
There is no public price list, because the cost follows the job.
AI tool and model fees are separate, and we estimate them before you commit. You see the scope and the fee in writing before work starts.
An opportunity review of your processes, tool selection, a pilot plan, a data and privacy check, an AI policy for staff, and if you want it, the build of the first pilot.
It is when a few tasks take many hours every week. If not, simple automation or no change may be the better answer, and we will say so.
It depends on the task, your data and your budget. We compare options for each use case and estimate running costs before you commit.
It depends on the tool and its settings. We check where each use case sends data and what your contracts allow, and recommend business accounts with the right data controls.
If you want. We can hand you the plan, or build the pilot as AI automation, an AI agent or a chatbot, with a person checking the output.
Our website coding team, led by Avijit Bhattacherjee on front end and back end, builds what the plan recommends, with Raju Barui, a backend developer, and Rima Shaw, Senior Account Manager, as your day-to-day contact. They use licensed tools and software, and we are available round the clock, 24x7, as per your location.
A real person reads every message and replies.
Most companies are already using AI tools, with or without a policy. This template gives a mid-size company a workable first version, sectioned to match NIST's framework and the risk levels in the EU AI Act, with plain notes on each clause.
Most AI projects stall between a promising pilot and everyday use. This guide gives a seven-stage plan, with the public frameworks and rules behind it, so each stage has an owner, a check and a way to stop.
Four kinds of work. One plan.